Modern AI in Project Management: Doings.ai vs ClickUp vs Jira (Atlassian AI)
- ClickUp with AI emerged repeatedly in top‑AI tool rankings, praised for custom automations and AI suggestions.
- Jira, powered by Atlassian Copilot in Project and Confluence, is a go‑to for software teams, especially enterprises.
- Doings.ai (aka doings.de) is a newer AI orchestration solution focused on end‑to‑end planning and code‑generation workflows.
Speed to Execution
ClickUp with AI
- Allows AI-generated content, project summaries, and task suggestions.
- Automates recurring tasks and offers smart prompts, but still requires manual setup of most workflows (Zapier).
- Speed gains are short‑term but driven by user-defined automation.
Jira + Atlassian Copilot
- Copilot helps with writing documentation, summarizing tasks, and enhancing meeting notes in Confluence.
- Actual backlog planning, breakdown into epics and tasks still relies on human templates and manual structuring .
- Works well within software teams familiar with Jira, but initial project setup remains labor-intensive.
Doings.ai
- AI agents take natural requirements, decompose them into milestones, epics, tickets and even code tasks—all with one click.
- From ingestion to prioritized backlog ready for code generation — essentially one “go” button.
- This radically speeds execution, making full project plans available in minutes rather than days.
🏅 Winner: Doings.ai for fastest path from goals to structured execution.
Workflow Wholeness
ClickUp
- Covers task tracking, docs, chat, goals, with AI features sprinkled in.
- Workflow coverage depends on manual configuration; AI assists but doesn’t orchestrate end‑to‑end pipelines .
Jira + Copilot
- Excellent for issue tracking, reporting, and collaboration with Confluence.
- Lacks built‑in automation for full hierarchical planning—requires combining multiple tools manually.
Doings.ai
- Designed as a holistic AI-driven project management solution.
- From raw requirements through planning, epics, tasks, scheduling, dependency management to code-generation prompts—all within one platform.
- Automation, AI breakdown, human-in‑loop oversight—fully integrated.
🏅 Winner: Doings.ai for all‑in‑one workflow orchestration.
Customization & Flexibility
ClickUp
- Highly customizable UIs, templates, and automations.
- AI features help adapt content and summaries, but workflows require careful manual definition and tuning.
Jira
- Highly configurable: issue types, fields, workflows, boards.
- Copilot helps generate content and summaries but doesn’t customize end-to-end pipeline logic.
Doings.ai
- You can tailor agent logic, task decompositions, milestone structures, even code‑generation behaviors.
- Customizable AI “recipes” let enterprise teams mold the platform to their process, with everything triggered from one central point.
🏅 Winner: Doings.ai for its agent‑level customizability wrapped in a no‑code interface.
Ease of Use
ClickUp
- Intuitive and versatile interface.
- Learning curve exists to define project automations.
- AI adds smart suggestions, but core project setup requires manual effort.
Jira
- Powerful—but complex.
- Teams often need training to set up workflows, boards, Confluence pages.
- Copilot helps reduce writing tasks, but doesn’t eliminate infrastructure setup.
Doings.ai
- Designed for simplicity: provide requirements, configure your AI breakdown template once, then press one button.
- Visible planning, progress, and backlog all generated automatically.
- Users see minimal interface friction after initial template configuration.
🏅 Winner: Doings.ai for low‑friction, streamlined AI usability.
Enterprise-grade Robustness & Complexity Handling
ClickUp
- Scales well with users, projects, automations—but complex cross-project planning depends on manual integrations.
- Risk tracking and forecasting are not central features; depend on third-party extensions or manual reports .
Jira
- Battle-tested for enterprise scale, complex dependencies, multiple projects, RHsAC, compliance.
- Strong governance and policy support.
- AI (Copilot) enhances content generation but doesn’t change core robustness.
Doings.ai
- Built for complexity: agentic workflows can analyze dependencies across lanes, allocate resources, and adapt planning dynamically.
- Enterprise-focused: supports GDPR‑compliant data handling, EU hosting, human‑in‑loop review.
- Designed to handle large, multi-team planning with built‑in traceability and generated deliverables.
🏅 Winner: Tie between Jira (mature enterprise backbone) and Doings.ai (modern, agentic enterprise orchestration). The edge goes to Doings.ai when AI speeds scalability without sacrificing depth.
Summary Table
| Criteria | ClickUp + AI | Jira + Copilot | Doings.ai |
|---|---|---|---|
| Speed to Execution | Moderate | Moderate | High – one‑click end‑to‑end |
| Workflow Wholeness | Partial (task level) | Partial (issue & doc level) | Full pipeline from requirements to code |
| Customization | High (manual config) | High (manual config) | High via AI template recipes |
| Ease of Use | Medium | Medium–Low | High – minimal user friction |
| Enterprise Robustness | Good | Excellent | Excellent + AI automation at scale |
Final Thoughts
If your priority is a highly flexible board or chat‑based workspace with AI enhancements, ClickUp is a strong choice. If you need battle‑tested enterprise tracking and governance (especially for software teams), Jira + Copilot offers great reliability with AI‑assisted documentation.
But if what you really want is speed, full lifecycle automation from raw requirements, and strong enterprise capabilities without sacrificing ease of use, Doings.ai clearly stands out. It’s fundamentally designed to orchestrate large-scale workflows via customizable AI agents, enabling teams to go from idea to execution faster and smarter—often with just one click.
Curious about how a demo could look with your own requirements or how to integrate it with your existing stack? I’d be happy to walk you through what an actual Doings.ai setup might look like.